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Content-Based Scene Detection and Analysis Method for Automatic Classification of TV Sports News

机译:基于内容的电视体育新闻自动分类场景检测与分析方法

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摘要

A large amount of digital video data is stored in local or network visual retrieval systems. The new technology advances in multimedia information processing as well as in network transmission have made video data publicly and relatively easy available. Users need the adequate tools to locate their desired video or video segments quickly and efficiently, for example in Internet video collections, TV shows archives, video-on-demand systems, personal video archives offered by many public Internet services, etc. Detection of scenes in TV videos is difficult because the diversity of effects used in video editing puts up a barrier to construct an appropriate model. The framework of automatic recognition and classification of scenes reporting the sport events in a given discipline in TV sports news have been proposed. Experimental results show good performance of the proposed scheme on detecting scenes on a given sport discipline in TV sports news. In the tests a special software called AVI -the Automatic Video Indexer has been used to detect shots and then scenes in tested TV news videos.
机译:大量的数字视频数据存储在本地或网络视觉检索系统中。多媒体信息处理以及网络传输方面的新技术进步使得视频数据公开且相对容易获得。用户需要适当的工具来快速有效地定位所需的视频或视频片段,例如,在Internet视频收藏,电视节目档案,视频点播系统,由许多公共Internet服务提供的个人视频档案中,等等。在电视视频中很难做到这一点,因为视频编辑中使用的效果的多样性为构建适当的模型设置了障碍。已经提出了在电视体育新闻的给定学科中报告体育事件的场景的自动识别和分类的框架。实验结果表明,该方案在电视体育新闻中给定体育学科场景检测中表现良好。在测试中,使用了一种称为AVI的特殊软件-自动视频索引器来检测镜头,然后检测经过测试的电视新闻视频中的场景。

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